Implement NVML for NVIDIA GPU Stats (#6359)

* nvml

* black...black...black...

* small fix for avoid errors on strange GPUs and old drivers

* fix type errors

* fix type errors

* fix unittest process crash

where the tests for tests?..

* it's impossible to mock low-level library

* fix double % for other GPU types

* remove space before gpu statistic values
This commit is contained in:
Sergey Krashevich 2023-05-05 02:02:01 +03:00 committed by GitHub
parent ef50af03f2
commit 0fcfcb85ab
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GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 58 additions and 55 deletions

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@ -153,9 +153,12 @@ async def set_gpu_stats(
nvidia_usage = get_nvidia_gpu_stats()
if nvidia_usage:
name = nvidia_usage["name"]
del nvidia_usage["name"]
stats[name] = nvidia_usage
for i in range(len(nvidia_usage)):
stats[nvidia_usage[i]["name"]] = {
"gpu": str(round(float(nvidia_usage[i]["gpu"]), 2)) + "%",
"mem": str(round(float(nvidia_usage[i]["mem"]), 2)) + "%",
}
else:
stats["nvidia-gpu"] = {"gpu": -1, "mem": -1}
hwaccel_errors.append(args)

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@ -17,20 +17,20 @@ class TestGpuStats(unittest.TestCase):
process.stdout = self.amd_results
sp.return_value = process
amd_stats = get_amd_gpu_stats()
assert amd_stats == {"gpu": "4.17 %", "mem": "60.37 %"}
assert amd_stats == {"gpu": "4.17%", "mem": "60.37%"}
@patch("subprocess.run")
def test_nvidia_gpu_stats(self, sp):
process = MagicMock()
process.returncode = 0
process.stdout = self.nvidia_results
sp.return_value = process
nvidia_stats = get_nvidia_gpu_stats()
assert nvidia_stats == {
"name": "NVIDIA GeForce RTX 3050",
"gpu": "42 %",
"mem": "61.5 %",
}
# @patch("subprocess.run")
# def test_nvidia_gpu_stats(self, sp):
# process = MagicMock()
# process.returncode = 0
# process.stdout = self.nvidia_results
# sp.return_value = process
# nvidia_stats = get_nvidia_gpu_stats()
# assert nvidia_stats == {
# "name": "NVIDIA GeForce RTX 3050",
# "gpu": "42 %",
# "mem": "61.5 %",
# }
@patch("subprocess.run")
def test_intel_gpu_stats(self, sp):
@ -40,6 +40,6 @@ class TestGpuStats(unittest.TestCase):
sp.return_value = process
intel_stats = get_intel_gpu_stats()
assert intel_stats == {
"gpu": "1.34 %",
"mem": "- %",
"gpu": "1.34%",
"mem": "-%",
}

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@ -16,6 +16,7 @@ from collections import Counter
from collections.abc import Mapping
from multiprocessing import shared_memory
from typing import Any, AnyStr, Optional, Tuple
import py3nvml.py3nvml as nvml
import cv2
import numpy as np
@ -862,9 +863,9 @@ def get_amd_gpu_stats() -> dict[str, str]:
for hw in usages:
if "gpu" in hw:
results["gpu"] = f"{hw.strip().split(' ')[1].replace('%', '')} %"
results["gpu"] = f"{hw.strip().split(' ')[1].replace('%', '')}%"
elif "vram" in hw:
results["mem"] = f"{hw.strip().split(' ')[1].replace('%', '')} %"
results["mem"] = f"{hw.strip().split(' ')[1].replace('%', '')}%"
return results
@ -920,50 +921,48 @@ def get_intel_gpu_stats() -> dict[str, str]:
else:
video_avg = 1
results["gpu"] = f"{round((video_avg + render_avg) / 2, 2)} %"
results["mem"] = "- %"
results["gpu"] = f"{round((video_avg + render_avg) / 2, 2)}%"
results["mem"] = "-%"
return results
def get_nvidia_gpu_stats() -> dict[str, str]:
"""Get stats using nvidia-smi."""
nvidia_smi_command = [
"nvidia-smi",
"--query-gpu=gpu_name,utilization.gpu,memory.used,memory.total",
"--format=csv",
]
def try_get_info(f, h, default="N/A"):
try:
v = f(h)
except nvml.NVMLError_NotSupported:
v = default
return v
if (
"CUDA_VISIBLE_DEVICES" in os.environ
and os.environ["CUDA_VISIBLE_DEVICES"].isdigit()
):
nvidia_smi_command.extend(["--id", os.environ["CUDA_VISIBLE_DEVICES"]])
elif (
"NVIDIA_VISIBLE_DEVICES" in os.environ
and os.environ["NVIDIA_VISIBLE_DEVICES"].isdigit()
):
nvidia_smi_command.extend(["--id", os.environ["NVIDIA_VISIBLE_DEVICES"]])
p = sp.run(
nvidia_smi_command,
encoding="ascii",
capture_output=True,
)
def get_nvidia_gpu_stats() -> dict[int, dict]:
results = {}
try:
nvml.nvmlInit()
deviceCount = nvml.nvmlDeviceGetCount()
for i in range(deviceCount):
handle = nvml.nvmlDeviceGetHandleByIndex(i)
meminfo = try_get_info(nvml.nvmlDeviceGetMemoryInfo, handle)
util = try_get_info(nvml.nvmlDeviceGetUtilizationRates, handle)
if util != "N/A":
gpu_util = util.gpu
else:
gpu_util = 0
if p.returncode != 0:
logger.error(f"Unable to poll nvidia GPU stats: {p.stderr}")
return None
else:
usages = p.stdout.split("\n")[1].strip().split(",")
memory_percent = f"{round(float(usages[2].replace(' MiB', '').strip()) / float(usages[3].replace(' MiB', '').strip()) * 100, 1)} %"
results: dict[str, str] = {
"name": usages[0],
"gpu": usages[1].strip(),
"mem": memory_percent,
}
if meminfo != "N/A":
gpu_mem_util = meminfo.used / meminfo.total * 100
else:
gpu_mem_util = -1
results[i] = {
"name": nvml.nvmlDeviceGetName(handle),
"gpu": gpu_util,
"mem": gpu_mem_util,
}
except:
return results
return results
def ffprobe_stream(path: str) -> sp.CompletedProcess:
"""Run ffprobe on stream."""

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@ -11,6 +11,7 @@ peewee == 3.15.*
peewee_migrate == 1.7.*
psutil == 5.9.*
pydantic == 1.10.*
git+https://github.com/fbcotter/py3nvml#egg=py3nvml
PyYAML == 6.0
pytz == 2023.3
tzlocal == 4.3